output
20092026
most citedA distillation-based approach integrating continual learning and federated learning for pervasive services

33 citations

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cs.CV2026

Calibration-Free 3D Multi-Camera People Tracking for Indoor Environment

Ponleur Veng, Dominique Vaufreydaz, Phutphalla Kong

Multi-Camera People Tracking (MCPT) traditionally relies on precise intrinsic and extrinsic camera calibration to project 2D detections into a unified 3D world coordinate system.Ho…

cs.CV2026

Variational Encoder--Multi-Decoder (VE-MD) for Privacy-by-functional-design (Group) Emotion Recognition

Anderson Augusma, Dominique Vaufreydaz, Fédérique Letué

Group Emotion Recognition (GER) aims to infer collective affect in social environments such as classrooms, crowds, and public events. Many existing approaches rely on explicit indi…

cs.CV2024

Exploring VQ-VAE with Prosody Parameters for Speaker Anonymization

Sotheara Leang, Anderson Augusma, Eric Castelli +3

Human speech conveys prosody, linguistic content, and speaker identity. This article investigates a novel speaker anonymization approach using an end-to-end network based on a Vect…

cs.CV2022

Autoregressive GAN for Semantic Unconditional Head Motion Generation

Louis Airale, Xavier Alameda-Pineda, Stéphane Lathuilière +1

In this work, we address the task of unconditional head motion generation to animate still human faces in a low-dimensional semantic space from a single reference pose. Different f…

cs.CV2022

Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut

Yangtao Wang, Xi Shen, Shell Hu +3

Transformers trained with self-supervised learning using self-distillation loss (DINO) have been shown to produce attention maps that highlight salient foreground objects. In this…